Network Analysis in Basketball: Inspecting the Prominent Players using Centrality Metrics
; Kalamaras, D.
; Mendes, R.
Journal of Physical Education and Sport Vol. 15, Nº 2, pp. 212 - 217, June, 2015.
ISSN (print): 1582-8131
ISSN (online): 2066-2483
Journal Impact Factor: (in )
Digital Object Identifier: 10.7752/jpes.2015.02033
The aim of this study was to analyse the team-members cooperation in basketball by using centrality metrics of network. Different ages were compared in this study. Forty players (10 players of under-14; 10 players of under-16; 10 players of under-18 and 10 players in amateurs with more than 20 years) voluntarily participated in this study. A total of 326 units of attack were generated based on the team-members interactions and then converted in final graphs. The one-way ANOVA for the factor tactical position found statistical differences in the dependent variables of %DCentrality (F(4,15) = 13.622; p-value = 0.001; η^2 = 0.784; Large Effect Size) and %DPrestige (F(4,15) = 20.590; p-value = 0.001; η^2 = 0.846; Large Effect Size). In conclusion this study showed that point guard was the prominent position during the attacking organization and that social network analysis it is a useful approach to identify the patterns of interactions in the game of basketball.
Keywords: Collective Behaviour; Match Analysis; Network; Metrics; Technical Performance; Basketball.